Prediction of ICU needs and organ failures in infectious patients using machine learning

Summary: This retrospective multicenter cohort study developed predictive models to identify patients at high risk for intensive care and major organ failure, using data from the First Affiliated Hospital of Xiamen University and the MIMIC-III/IV databases. A total of 18,689 infectious patients were...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Chiyuan Ma, Ruizhi Xu, Dubin Su, Jingjing Yang, Ziwei Zhou, Qun Chen, Yaping Guo, Lihong Huang, Wanshan Ning
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2025-12-01
Saila:	iScience
Gaiak:	Health sciences Machine learning
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2589004225024034
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!